AM_clustering           Return the clustering matrix
AM_coclustering         Return the co-clustering matrix
AM_demo_mvb_poi         Returns an example of 'AM_mcmc_fit' output
                        produced by the multivariate bernoulli model
AM_demo_mvn_poi         Returns an example of 'AM_mcmc_fit' output
                        produced by the multivariate gaussian model
AM_demo_uvn_poi         Returns an example of 'AM_mcmc_fit' output
                        produced by the univariate Gaussian model
AM_demo_uvp_poi         Returns an example of 'AM_mcmc_fit' output
                        produced by the univariate Poisson model
AM_emp_bayes_uninorm    compute the hyperparameters of an
                        Normal-Inverse-Gamma distribution using an
                        empirical Bayes approach
AM_extract              Extract values within a 'AM_mcmc_output' object
AM_find_gamma_Delta     Given that the prior on M is a dirac delta,
                        find the gamma hyperparameter of the weights
                        prior to match E(K)=K*, where K* is
                        user-specified
AM_find_gamma_NegBin    Given that the prior on M is a Negative
                        Binomial, find the gamma hyperparameter of the
                        weights prior to match E(K)=K*, where K* is
                        user-specified
AM_find_gamma_Pois      Given that the prior on M is a shifted Poisson,
                        find the gamma hyperparameter of the weights
                        prior to match E(K)=K^{*}, where K^{*} is
                        user-specified
AM_mcmc_configuration   S3 class AM_mcmc_configuration
AM_mcmc_fit             Performs a Gibbs sampling
AM_mcmc_output          S3 class AM_mcmc_output
AM_mcmc_parameters      MCMC Parameters
AM_mcmc_refit           Performs a Gibbs sampling reusing previous
                        configuration
AM_mix_components_prior
                        S3 class AM_mix_components_prior
AM_mix_components_prior_dirac
                        Generate a configuration object that contains a
                        Point mass prior
AM_mix_components_prior_negbin
                        Generate a configuration object for a Shifted
                        Negative Binomial prior on the number of
                        mixture components
AM_mix_components_prior_pois
                        Generate a configuration object for a Poisson
                        prior on the number of mixture components
AM_mix_hyperparams      S3 class AM_mix_hyperparams
AM_mix_hyperparams_multiber
                        multivariate Bernoulli mixture hyperparameters
                        (Latent Class Analysis)
AM_mix_hyperparams_multinorm
                        multivariate Normal mixture hyperparameters
AM_mix_hyperparams_uninorm
                        univariate Normal mixture hyperparameters
AM_mix_hyperparams_unipois
                        univariate Poisson mixture hyperparameters
AM_mix_weights_prior    S3 class AM_mix_weights_prior
AM_mix_weights_prior_gamma
                        specify a prior on the hyperparameter gamma for
                        the Dirichlet mixture weights prior
AM_plot_chaincor        Plot the Autocorrelation function
AM_plot_density         Plot the density of variables from
                        'AM_mcmc_output' object
AM_plot_mvb_cluster_frequency
                        Visualise the cluster frequency plot for the
                        multivariate bernoulli model
AM_plot_pairs           Plot 'AM_mcmc_output' scatterplot matrix
AM_plot_pmf             Plot the probability mass function of variables
                        from 'AM_mcmc_output' object
AM_plot_similarity_matrix
                        Plot the Similarity Matrix
AM_plot_traces          Plot traces of variables from an
                        'AM_mcmc_output' object
AM_plot_values          Plot posterior interval estimates obtained from
                        MCMC draws
AM_prior                S3 class AM_prior
AM_prior_K_Delta        Computes the prior on the number of clusters
AM_prior_K_NegBin       computes the prior number of clusters
AM_prior_K_Pois         Computes the prior number of clusters
AM_salso                Sequentially Allocated Latent Structure
                        Optimisation
AntMAN                  AntMAN: A package for fitting finite Bayesian
                        Mixture models with a random number of
                        components
brain                   Teen Brain Images from the National Institutes
                        of Health, U.S.
carcinoma               Carcinoma dataset
galaxy                  Galaxy velocities dataset
plot.AM_mcmc_output     plot AM_mcmc_output
plot.AM_prior           plot AM_prior
said                    Usage frequency of the word "said" in the Brown
                        corpus
summary.AM_mcmc_configuration
                        summary information of the
                        AM_mcmc_configuration object
summary.AM_mcmc_output
                        summary information of the AM_mcmc_output
                        object
summary.AM_mix_components_prior
                        summary information of the
                        AM_mix_components_prior object
summary.AM_mix_hyperparams
                        summary information of the AM_mix_hyperparams
                        object
summary.AM_mix_weights_prior
                        summary information of the AM_mix_weights_prior
                        object
summary.AM_prior        summary information of the AM_prior object
